activeFunded · 2026 · MISTAI
MISTAI: Medical Intelligence & Skills Training in AI
Bilateral UKB–Dnipro State Medical University project, funded by the NRW Ministry of Culture and Science, building an AI pipeline and training programme in …
Funded projects & research collaborations
Projects
11currently active
45partner institutions in 14 countries
active
completedFunded · 2025 · BILD
Summer School on Biomedical Imaging with Deep Learning (BILD)
Summer school on deep learning for biomedical imaging in Tunis (1–5 September 2025), organised within the SANAD network with the University of Tunis El Manar, …
completedFunded · 2025 · SANAD
Strategic Arab-German Network for Affordable and Democratized AI (SANAD)
DAAD Funded Project (2025-2025)
activeFunded · 2025 – ongoing · Eyelid Tumour AI
KI-gestützte Diagnostik von Tumoren am Auge: Dignitätseinordnung von Lidtumoren mittels KI zur optimierten Patienteneinbestellung
Prototyping grant of the University of Bonn (Transfer Center enaCom) to develop an app that supports the assessment and classification of eyelid tumours — …
activeFunded · 2025 – 2026
Application of AI and Advanced MRI for a Better Prediction of Disease Progression in Neurological Disorders
Bonn International Fellowships (2024 - 2025)
completedFunded · 2025 · AiR-GUC
AI in Radiology – From Pixels to Decisions (joint teaching with GUC)
BMFTR-funded joint teaching seminar between the University of Bonn and the German University in Cairo (2025).
completedFunded · 2024 · SAAI
Summer School on Affordable AI (SAAI)
Summer school funded by BMFTR and the Arab-German Young Academy of Sciences and Humanities (AGYA), 2024.
completedResearch collaboration · 2024 – 2025
Robust surgical tool segmentation with state-space vision models
This exploratory collaboration investigated state-space vision models for robust surgical tool segmentation under realistic visual corruptions.
activeResearch collaboration · 2024 – ongoing
MRIQT: Image-quality transfer from ultra-low-field to high-field neonatal MRI
This project addresses the limited diagnostic usability of portable ultra-low-field MRI (0.064 T) in neonatal neuroimaging, where reduced signal-to-noise ratio …
activeResearch collaboration · 2024 – ongoing
INTERACT-CMIL: Interpretable multi-task grading of conjunctival melanocytic lesions
This project addresses the grading of conjunctival melanocytic intraepithelial lesions (CMIL), rare precursors of conjunctival melanoma characterized by …
activeResearch collaboration · 2024 – ongoing
Bias-aware foundation models for equitable breast cancer screening
This project addresses fairness and generalization challenges of foundation models for breast mammography, where AI systems trained predominantly on data from …
completedFunded · 2023 · EEDA
Affordable AI and Collaborative Federated Learning for Global Healthcare (EEDA)
DAAD Funded Project with Beirut Arab University, Lebanon (2023-2023)
activeResearch collaboration · 2023 – ongoing
Federated foundation models for multi-center CT staging of pancreatic cancer
This project addresses preoperative staging of pancreatic ductal adenocarcinoma (PDAC), where lymph node metastasis is a major prognostic factor but CT-based …
completedFunded · 2023 – 2024
Utilising Artificial Intelligence in Cancer Imaging To Improve Patient Outcomes
Bonn-Melbourne Research Excellence Fund (2023-2024)
activeFunded · 2023 – 2027 · OMI
Open Medical Inference (OMI)
BMBF Funded Project through Medical Informatics Initaitive (MII) consortia (2024-2028)
activeFunded · 2023 – 2026
Deep learning to estimate aging from chest imaging
The 3-year DFG Funded project with UniKlinikum Freiburg (2023-2026)
completedResearch collaboration · 2023 – 2024
Deep learning for clinically significant prostate cancer in 3D mpMRI and MR Fingerprinting
This project addresses the detection and characterization of clinically significant prostate cancer (csPCa) in MRI, where diagnostic performance is limited by …
completedFunded · 2023 – 2025 · Pomegranate AI
AI for predicting the technological and phenolic maturity of pomegranates in Lebanon
AGYA interdisciplinary project with Beirut Arab University that uses machine learning on smartphone photographs, physical, geographical and climate data to …
completedResearch collaboration · 2022 – 2023
Federated learning for musculoskeletal segmentation in CT
This collaboration explored federated learning for musculoskeletal segmentation in CT imaging across institutions in Germany and Japan.
completedResearch collaboration · 2022 – 2023
Deep learning for fetal diaphragmatic hernia detection in ultrasound
Congenital diaphragmatic hernia (CDH) is a rare but severe fetal malformation associated with high neonatal morbidity and mortality, where early detection is …
completedResearch collaboration · 2022 – 2024
Affordable deep learning for inherited and common retinal diseases
This international collaboration addresses the diagnosis of inherited retinal diseases (IRDs) and common retinal disorders using affordable color fundus …
completedResearch collaboration · 2022 – 2024
Large vision models for robust and trustworthy medical image understanding
This collaboration investigates the applicability of large vision models to medical imaging, addressing robustness, generalization, and trustworthiness under …
activeResearch collaboration · 2022 – ongoing
GCA-US-AI: Deep learning–based ultrasound diagnosis of Giant Cell Arteritis
In close interdisciplinary cooperation with clinical rheumatology, this project addresses the highly operator-dependent and time-critical ultrasound diagnosis …
activeFunded · 2022 – 2026
Development of a Deep Learning Toolkit for MRI-Guided Online Adaptive Radiotherapy
The 3-year DFG Funded project with the University Hospital Bonn, LMU and TU Munich (2022-2025)
completedResearch collaboration · 2021 – 2022
FLamby: Federated learning benchmarks for realistic healthcare settings
A central bottleneck in federated learning research is the lack of realistic, multi-center benchmarks reflecting the heterogeneity of clinical data.
completedResearch collaboration · 2021 – 2022 · deepc Head CT
Unsupervised anomaly detection in full-head CT for emergency triage
Collaboration with the Munich radiology-AI company deepc on unsupervised anomaly detection in volumetric head CT — prioritising emergency scans for any …
completedResearch collaboration · 2021 – 2025
FUTURE-AI: International guidelines for trustworthy medical AI
International consortium of 117 experts from 50 countries that defined FUTURE-AI, the first international consensus guideline for trustworthy and deployable AI …
completedFunded · 2021 – 2023 · Eyesight to AI
Eyesight to AI: Discovery of efficient corrosion modulators via predictive machine learning models
Helmholtz-funded cooperation with Helmholtz-Zentrum hereon applying deep learning to high-throughput corrosion screening (2021–2023).
completedResearch collaboration · 2020 – 2022
FedDis: Federated disentangled representation learning for brain anomaly detection
This research line addressed one of the central methodological challenges in collaborative medical AI: how to learn clinically meaningful representations across …
completedFunded · 2020 – 2025
Deep Federated Learning in Healthcare
This 5 years Helmholtz funded project to advance the field with Federated Learning algorithms in Medicine (2020-2025)
completedFunded · 2020 – 2021
Uncertainty Aware Methods for Camera Pose Estimation and Relocalization
BaCaTeC Funded Project with Stanford University and Siemens AG (2020-2021)
completedFunded · 2020 – 2022
Modelling Uncertainty in Deep Learning for Medical Applications
DAAD Funded Project with ETH Zürich and Imperial College London (2020-2022)
completedFunded · 2020 · BIGPICTURE
BigPicture Project
European IMI2 consortium building the largest platform of digital pathology images for AI (2021–2027). We took part at TU Munich, contributing federated …
completedFunded · 2020 – 2023 · AI for Hematology
AI for Hematology: Trustworthy digital staining and classification of white blood cells
Academia–industry collaboration with Siemens AG and TU Munich that replaced the chemical staining of blood smears with a digital one — generative models that …
completedResearch collaboration · 2019 – 2022 · Rare Blood Disorders
Explainable AI for rare blood disorders
Collaboration with Carsten Marr (Helmholtz Munich) on explainable deep learning for diagnosing rare anaemias and blood cell disorders — attention-based and …
completedResearch collaboration · 2019 – 2024
LYSTO: Benchmark and hackathon for lymphocyte assessment
Reliable assessment of tumor-infiltrating lymphocytes in immunohistochemistry is clinically relevant for prognosis and immunotherapy decision-making but remains …
completedFunded · 2018 – 2021 · ZEISS Representation Learning
Disentangled, fair and discriminative representations for ophthalmic imaging
Industry project with Carl Zeiss Meditec on representation learning for medical imaging — microaneurysm segmentation for diabetic-retinopathy screening, …
completedFunded · 2017 – 2019 · Siemens CAD
CAD model-based detection and tracking of large objects
Industry project with Siemens AG (Corporate Technology) on learning the pose of large industrial objects and of the camera or X-ray device observing them, using …
completedFunded · 2016 – 2020 · Roche Virtual Staining
Virtual staining in digital pathology: GAN-based stain virtualization of whole slide images
Industry project with Roche Diagnostics on virtual staining in digital pathology — generating immunohistochemistry stains from tissue images with unsupervised …
completedFunded · 2016 – 2019 · Siemens X-ray
Optimisation of X-ray images with respect to image quality and dose
Industry project with Siemens Healthineers (Advanced Therapies, Forchheim) on lowering the X-ray dose of interventional imaging without losing image quality — …
completedResearch collaboration · 2008 – 2014
Telemedicine in Palestine
Self-initiated in 2008 to plan a telemedicine centre for Palestine (EHB 2009), later followed by a consultancy for GIZ on telemedicine in Palestine (2014).
No projects match these filters.